Results 71 to 80 of about 419,297 (312)

Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm

Sensors, 2023
The Aquila Optimizer (AO) is a new bio-inspired meta-heuristic algorithm inspired by Aquila’s hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm (NCAAO) is proposed to address the problem that although the ...
Yue Zhang, Xiping Xu, Ning Zhang, Kailin Zhang, Weida Dong, Xiaoyan Li   +5 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

An Enhanced Tree-Seed Algorithm for Function Optimization and Production Optimization

Biomimetics
As the fields of engineering, energy, and geology become increasingly complex, decision makers face escalating challenges that require skilled solutions to meet practical production needs.
Qingan Zhou, Rong Dai, Guoxiao Zhou, Shenghui Ma, Shunshe Luo   +4 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Biased random-key genetic algorithm for bound-constrained global optimization [PDF]

, 2012
Global optimization seeks a minimum or maximum of a multimodal function over a discrete or continuous domain. In this paper, we propose a biased random-key genetic algorithm for finding approximate solutions for continuous global optimization problems ...
R. M. A. Silva, P. M. Pardalos, J. F. Gonçalves, M. G. C. Resende   +3 more
core  

An adaptive radial basis algorithm (ARBF) for expensive black-box global optimization [PDF]

, 2008
Powerful response surface methods based on kriging and radial basis function (RBF) interpolation have been developed for expensive, i.e. computationally costly, global nonconvex optimization.
Holmström, Kenneth,
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Local optimization method with global multidimensional search [PDF]

, 2005
This paper presents a new method for solving global optimization problems. We use a local technique based on the notion of discrete gradients for finding a cone of descent directions and then we use a global cutting angle algorithm for finding global ...
Zhang, Jiapu, Rubinov, Alex, Bagirov, Adil   +2 more
core   +2 more sources

Adaptive Tasmanian Devil Optimizer for Global Optimization and Application in Wireless Sensor Network Deployment

IEEE Access
The Tasmanian Devil Optimization (TDO) algorithm, a recently popular metaheuristic algorithm, exhibits issues such as slow convergence, low precision, and susceptibility to getting stuck in local optima when applied to practical problems.
Wei Wang, Lixin Lyu
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source